Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 550 |
| Missing cells | 1078 |
| Missing cells (%) | 8.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 94.7 KiB |
| Average record size in memory | 176.2 B |
Variable types
| Categorical | 10 |
|---|---|
| Numeric | 11 |
| Unsupported | 1 |
congress has constant value "" | Constant |
state_abbrev has a high cardinality: 51 distinct values | High cardinality |
bioname has a high cardinality: 549 distinct values | High cardinality |
bioguide_id has a high cardinality: 549 distinct values | High cardinality |
nominate_number_of_votes has a high cardinality: 171 distinct values | High cardinality |
nominate_number_of_errors has a high cardinality: 139 distinct values | High cardinality |
icpsr is highly overall correlated with chamber | High correlation |
state_icpsr is highly overall correlated with chamber and 2 other fields | High correlation |
died is highly overall correlated with occupancy and 1 other fields | High correlation |
nominate_dim1 is highly overall correlated with nokken_poole_dim1 and 1 other fields | High correlation |
nominate_dim2 is highly overall correlated with nokken_poole_dim2 | High correlation |
nominate_log_likelihood is highly overall correlated with nominate_geo_mean_probability | High correlation |
nominate_geo_mean_probability is highly overall correlated with nominate_log_likelihood | High correlation |
nokken_poole_dim1 is highly overall correlated with nominate_dim1 and 1 other fields | High correlation |
nokken_poole_dim2 is highly overall correlated with nominate_dim2 | High correlation |
chamber is highly overall correlated with icpsr and 3 other fields | High correlation |
state_abbrev is highly overall correlated with state_icpsr and 2 other fields | High correlation |
party_code is highly overall correlated with nominate_dim1 and 1 other fields | High correlation |
occupancy is highly overall correlated with died and 1 other fields | High correlation |
last_means is highly overall correlated with state_icpsr and 4 other fields | High correlation |
chamber is highly imbalanced (54.4%) | Imbalance |
occupancy is highly imbalanced (82.7%) | Imbalance |
last_means is highly imbalanced (87.7%) | Imbalance |
died has 522 (94.9%) missing values | Missing |
conditional has 550 (100.0%) missing values | Missing |
bioname is uniformly distributed | Uniform |
bioguide_id is uniformly distributed | Uniform |
conditional is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
district_code has 106 (19.3%) zeros | Zeros |
Reproduction
| Analysis started | 2023-08-28 21:37:23.204867 |
|---|---|
| Analysis finished | 2023-08-28 21:37:36.373533 |
| Duration | 13.17 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
congress
Categorical
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 113 |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1650 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 113 |
|---|---|
| 2nd row | 113 |
| 3rd row | 113 |
| 4th row | 113 |
| 5th row | 113 |
Common Values
| Value | Count | Frequency (%) |
| 113 | 550 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 113 | 550 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1100 | |
| 3 | 550 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1650 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1100 | |
| 3 | 550 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1650 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1100 | |
| 3 | 550 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1650 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1100 | |
| 3 | 550 |
chamber
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| House | |
|---|---|
| Senate | |
| President | 1 |
Length
| Max length | 9 |
|---|---|
| Median length | 5 |
| Mean length | 5.1981818 |
| Min length | 5 |
Characters and Unicode
| Total characters | 2859 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | President |
|---|---|
| 2nd row | House |
| 3rd row | House |
| 4th row | House |
| 5th row | House |
Common Values
| Value | Count | Frequency (%) |
| House | 444 | |
| Senate | 105 | 19.1% |
| President | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| house | 444 | |
| senate | 105 | 19.1% |
| president | 1 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 656 | |
| s | 445 | |
| H | 444 | |
| o | 444 | |
| u | 444 | |
| n | 106 | 3.7% |
| t | 106 | 3.7% |
| S | 105 | 3.7% |
| a | 105 | 3.7% |
| P | 1 | < 0.1% |
| Other values (3) | 3 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2309 | |
| Uppercase Letter | 550 | 19.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 656 | |
| s | 445 | |
| o | 444 | |
| u | 444 | |
| n | 106 | 4.6% |
| t | 106 | 4.6% |
| a | 105 | 4.5% |
| r | 1 | < 0.1% |
| i | 1 | < 0.1% |
| d | 1 | < 0.1% |
Uppercase Letter
| Value | Count | Frequency (%) |
| H | 444 | |
| S | 105 | 19.1% |
| P | 1 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2859 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 656 | |
| s | 445 | |
| H | 444 | |
| o | 444 | |
| u | 444 | |
| n | 106 | 3.7% |
| t | 106 | 3.7% |
| S | 105 | 3.7% |
| a | 105 | 3.7% |
| P | 1 | < 0.1% |
| Other values (3) | 3 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2859 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 656 | |
| s | 445 | |
| H | 444 | |
| o | 444 | |
| u | 444 | |
| n | 106 | 3.7% |
| t | 106 | 3.7% |
| S | 105 | 3.7% |
| a | 105 | 3.7% |
| P | 1 | < 0.1% |
| Other values (3) | 3 | 0.1% |
icpsr
Real number (ℝ)
| Distinct | 549 |
|---|---|
| Distinct (%) | 99.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24424.635 |
| Minimum | 2605 |
|---|---|
| Maximum | 99911 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 2605 |
|---|---|
| 5-th percentile | 14869.9 |
| Q1 | 20531.25 |
| median | 21167.5 |
| Q3 | 29347.5 |
| 95-th percentile | 41017.75 |
| Maximum | 99911 |
| Range | 97306 |
| Interquartile range (IQR) | 8816.25 |
Descriptive statistics
| Standard deviation | 9464.683 |
|---|---|
| Coefficient of variation (CV) | 0.38750562 |
| Kurtosis | 21.498919 |
| Mean | 24424.635 |
| Median Absolute Deviation (MAD) | 823 |
| Skewness | 3.5405803 |
| Sum | 13433549 |
| Variance | 89580225 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14435 | 2 | 0.4% |
| 99911 | 1 | 0.2% |
| 21180 | 1 | 0.2% |
| 20351 | 1 | 0.2% |
| 20748 | 1 | 0.2% |
| 20947 | 1 | 0.2% |
| 21178 | 1 | 0.2% |
| 21179 | 1 | 0.2% |
| 21181 | 1 | 0.2% |
| 15019 | 1 | 0.2% |
| Other values (539) | 539 |
| Value | Count | Frequency (%) |
| 2605 | 1 | |
| 10713 | 1 | |
| 13035 | 1 | |
| 13047 | 1 | |
| 14009 | 1 | |
| 14066 | 1 | |
| 14203 | 1 | |
| 14226 | 1 | |
| 14230 | 1 | |
| 14256 | 1 |
| Value | Count | Frequency (%) |
| 99911 | 1 | |
| 94828 | 1 | |
| 94659 | 1 | |
| 90327 | 1 | |
| 49706 | 1 | |
| 49703 | 1 | |
| 49702 | 1 | |
| 49700 | 1 | |
| 49308 | 1 | |
| 49300 | 1 |
state_icpsr
Real number (ℝ)
| Distinct | 51 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.672727 |
| Minimum | 1 |
|---|---|
| Maximum | 99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 23 |
| median | 43 |
| Q3 | 54 |
| 95-th percentile | 71 |
| Maximum | 99 |
| Range | 98 |
| Interquartile range (IQR) | 31 |
Descriptive statistics
| Standard deviation | 21.435509 |
|---|---|
| Coefficient of variation (CV) | 0.52702413 |
| Kurtosis | -0.96680088 |
| Mean | 40.672727 |
| Median Absolute Deviation (MAD) | 19 |
| Skewness | -0.053536374 |
| Sum | 22370 |
| Variance | 459.48104 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 71 | 55 | 10.0% |
| 49 | 38 | 6.9% |
| 43 | 31 | 5.6% |
| 13 | 29 | 5.3% |
| 14 | 20 | 3.6% |
| 21 | 20 | 3.6% |
| 24 | 18 | 3.3% |
| 12 | 17 | 3.1% |
| 23 | 16 | 2.9% |
| 44 | 16 | 2.9% |
| Other values (41) | 290 |
| Value | Count | Frequency (%) |
| 1 | 7 | 1.3% |
| 2 | 4 | 0.7% |
| 3 | 14 | |
| 4 | 4 | 0.7% |
| 5 | 4 | 0.7% |
| 6 | 3 | 0.5% |
| 11 | 3 | 0.5% |
| 12 | 17 | |
| 13 | 29 | |
| 14 | 20 |
| Value | Count | Frequency (%) |
| 99 | 1 | 0.2% |
| 82 | 4 | 0.7% |
| 81 | 3 | 0.5% |
| 73 | 12 | 2.2% |
| 72 | 7 | 1.3% |
| 71 | 55 | |
| 68 | 3 | 0.5% |
| 67 | 6 | 1.1% |
| 66 | 5 | 0.9% |
| 65 | 6 | 1.1% |
district_code
Real number (ℝ)
| Distinct | 54 |
|---|---|
| Distinct (%) | 9.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.1763636 |
| Minimum | 0 |
|---|---|
| Maximum | 53 |
| Zeros | 106 |
| Zeros (%) | 19.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 5 |
| Q3 | 11 |
| 95-th percentile | 31 |
| Maximum | 53 |
| Range | 53 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 10.301104 |
|---|---|
| Coefficient of variation (CV) | 1.2598637 |
| Kurtosis | 4.1376228 |
| Mean | 8.1763636 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 2.0037893 |
| Sum | 4497 |
| Variance | 106.11274 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 106 | |
| 1 | 52 | 9.5% |
| 2 | 43 | 7.8% |
| 3 | 38 | 6.9% |
| 4 | 35 | 6.4% |
| 5 | 31 | 5.6% |
| 6 | 26 | 4.7% |
| 7 | 25 | 4.5% |
| 8 | 22 | 4.0% |
| 9 | 17 | 3.1% |
| Other values (44) | 155 |
| Value | Count | Frequency (%) |
| 0 | 106 | |
| 1 | 52 | |
| 2 | 43 | |
| 3 | 38 | 6.9% |
| 4 | 35 | 6.4% |
| 5 | 31 | 5.6% |
| 6 | 26 | 4.7% |
| 7 | 25 | 4.5% |
| 8 | 22 | 4.0% |
| 9 | 17 | 3.1% |
| Value | Count | Frequency (%) |
| 53 | 1 | |
| 52 | 1 | |
| 51 | 1 | |
| 50 | 1 | |
| 49 | 1 | |
| 48 | 1 | |
| 47 | 1 | |
| 46 | 1 | |
| 45 | 1 | |
| 44 | 1 |
state_abbrev
Categorical
HIGH CARDINALITY HIGH CORRELATION
| Distinct | 51 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| CA | |
|---|---|
| TX | |
| FL | 31 |
| NY | 29 |
| PA | 20 |
| Other values (46) |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.0018182 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1101 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | USA |
|---|---|
| 2nd row | AL |
| 3rd row | AL |
| 4th row | AL |
| 5th row | AL |
Common Values
| Value | Count | Frequency (%) |
| CA | 55 | 10.0% |
| TX | 38 | 6.9% |
| FL | 31 | 5.6% |
| NY | 29 | 5.3% |
| PA | 20 | 3.6% |
| IL | 20 | 3.6% |
| OH | 18 | 3.3% |
| NJ | 17 | 3.1% |
| MI | 16 | 2.9% |
| GA | 16 | 2.9% |
| Other values (41) | 290 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ca | 55 | 10.0% |
| tx | 38 | 6.9% |
| fl | 31 | 5.6% |
| ny | 29 | 5.3% |
| pa | 20 | 3.6% |
| il | 20 | 3.6% |
| oh | 18 | 3.3% |
| nj | 17 | 3.1% |
| mi | 16 | 2.9% |
| ga | 16 | 2.9% |
| Other values (41) | 290 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 177 | |
| N | 117 | |
| C | 96 | 8.7% |
| M | 80 | 7.3% |
| I | 75 | 6.8% |
| L | 70 | 6.4% |
| T | 69 | 6.3% |
| O | 52 | 4.7% |
| Y | 40 | 3.6% |
| X | 38 | 3.5% |
| Other values (14) | 287 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 1101 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 177 | |
| N | 117 | |
| C | 96 | 8.7% |
| M | 80 | 7.3% |
| I | 75 | 6.8% |
| L | 70 | 6.4% |
| T | 69 | 6.3% |
| O | 52 | 4.7% |
| Y | 40 | 3.6% |
| X | 38 | 3.5% |
| Other values (14) | 287 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1101 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 177 | |
| N | 117 | |
| C | 96 | 8.7% |
| M | 80 | 7.3% |
| I | 75 | 6.8% |
| L | 70 | 6.4% |
| T | 69 | 6.3% |
| O | 52 | 4.7% |
| Y | 40 | 3.6% |
| X | 38 | 3.5% |
| Other values (14) | 287 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 177 | |
| N | 117 | |
| C | 96 | 8.7% |
| M | 80 | 7.3% |
| I | 75 | 6.8% |
| L | 70 | 6.4% |
| T | 69 | 6.3% |
| O | 52 | 4.7% |
| Y | 40 | 3.6% |
| X | 38 | 3.5% |
| Other values (14) | 287 |
party_code
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 200 | |
|---|---|
| 100 | |
| 328 | 2 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1650 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 100 |
|---|---|
| 2nd row | 200 |
| 3rd row | 200 |
| 4th row | 100 |
| 5th row | 200 |
Common Values
| Value | Count | Frequency (%) |
| 200 | 286 | |
| 100 | 262 | |
| 328 | 2 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 200 | 286 | |
| 100 | 262 | |
| 328 | 2 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1096 | |
| 2 | 288 | 17.5% |
| 1 | 262 | 15.9% |
| 3 | 2 | 0.1% |
| 8 | 2 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1650 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1096 | |
| 2 | 288 | 17.5% |
| 1 | 262 | 15.9% |
| 3 | 2 | 0.1% |
| 8 | 2 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1650 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1096 | |
| 2 | 288 | 17.5% |
| 1 | 262 | 15.9% |
| 3 | 2 | 0.1% |
| 8 | 2 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1650 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1096 | |
| 2 | 288 | 17.5% |
| 1 | 262 | 15.9% |
| 3 | 2 | 0.1% |
| 8 | 2 | 0.1% |
occupancy
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 0 | |
|---|---|
| 1 | 13 |
| 2 | 12 |
| 3 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 550 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 550 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 550 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 550 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 523 | |
| 1 | 13 | 2.4% |
| 2 | 12 | 2.2% |
| 3 | 2 | 0.4% |
last_means
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 1 | |
|---|---|
| 2 | 12 |
| 5 | 5 |
| 0 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 550 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 550 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 550 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 550 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 532 | |
| 2 | 12 | 2.2% |
| 5 | 5 | 0.9% |
| 0 | 1 | 0.2% |
bioname
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 549 |
|---|---|
| Distinct (%) | 99.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| MARKEY, Edward John | 2 |
|---|---|
| OBAMA, Barack | 1 |
| BLACK, Diane | 1 |
| BLACKBURN, Marsha | 1 |
| COHEN, Stephen | 1 |
| Other values (544) |
Length
| Max length | 42 |
|---|---|
| Median length | 31 |
| Mean length | 16.505455 |
| Min length | 8 |
Characters and Unicode
| Total characters | 9078 |
|---|---|
| Distinct characters | 63 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 548 ? |
|---|---|
| Unique (%) | 99.6% |
Sample
| 1st row | OBAMA, Barack |
|---|---|
| 2nd row | BONNER, Jr., Josiah Robins (Jo) |
| 3rd row | ROGERS, Mike Dennis |
| 4th row | SEWELL, Terri |
| 5th row | ROBY, Martha |
Common Values
| Value | Count | Frequency (%) |
| MARKEY, Edward John | 2 | 0.4% |
| OBAMA, Barack | 1 | 0.2% |
| BLACK, Diane | 1 | 0.2% |
| BLACKBURN, Marsha | 1 | 0.2% |
| COHEN, Stephen | 1 | 0.2% |
| ROE, David P. (Phil) | 1 | 0.2% |
| FLEISCHMANN, Chuck | 1 | 0.2% |
| DESJARLAIS, Scott | 1 | 0.2% |
| FINCHER, Stephen Lee | 1 | 0.2% |
| COOPER, James Hayes Shofner | 1 | 0.2% |
| Other values (539) | 539 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| john | 32 | 2.3% |
| jr | 16 | 1.1% |
| michael | 16 | 1.1% |
| david | 15 | 1.1% |
| robert | 14 | 1.0% |
| james | 13 | 0.9% |
| richard | 13 | 0.9% |
| a | 12 | 0.9% |
| scott | 11 | 0.8% |
| william | 11 | 0.8% |
| Other values (856) | 1241 |
Most occurring characters
| Value | Count | Frequency (%) |
| 844 | 9.3% | |
| , | 572 | 6.3% |
| E | 415 | 4.6% |
| R | 403 | 4.4% |
| e | 375 | 4.1% |
| A | 358 | 3.9% |
| a | 354 | 3.9% |
| N | 303 | 3.3% |
| S | 295 | 3.2% |
| n | 267 | 2.9% |
| Other values (53) | 4892 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 4461 | |
| Lowercase Letter | 2979 | |
| Space Separator | 844 | 9.3% |
| Other Punctuation | 700 | 7.7% |
| Open Punctuation | 45 | 0.5% |
| Close Punctuation | 45 | 0.5% |
| Dash Punctuation | 4 | < 0.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 415 | 9.3% |
| R | 403 | 9.0% |
| A | 358 | 8.0% |
| N | 303 | 6.8% |
| S | 295 | 6.6% |
| L | 261 | 5.9% |
| O | 253 | 5.7% |
| T | 224 | 5.0% |
| I | 218 | 4.9% |
| M | 205 | 4.6% |
| Other values (18) | 1526 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 375 | |
| a | 354 | |
| n | 267 | 9.0% |
| r | 258 | 8.7% |
| i | 252 | 8.5% |
| o | 220 | 7.4% |
| l | 177 | 5.9% |
| h | 149 | 5.0% |
| t | 132 | 4.4% |
| d | 119 | 4.0% |
| Other values (18) | 676 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 572 | |
| . | 127 | 18.1% |
| ' | 1 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 844 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 45 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 45 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7440 | |
| Common | 1638 | 18.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 415 | 5.6% |
| R | 403 | 5.4% |
| e | 375 | 5.0% |
| A | 358 | 4.8% |
| a | 354 | 4.8% |
| N | 303 | 4.1% |
| S | 295 | 4.0% |
| n | 267 | 3.6% |
| L | 261 | 3.5% |
| r | 258 | 3.5% |
| Other values (46) | 4151 |
Common
| Value | Count | Frequency (%) |
| 844 | ||
| , | 572 | |
| . | 127 | 7.8% |
| ( | 45 | 2.7% |
| ) | 45 | 2.7% |
| - | 4 | 0.2% |
| ' | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9068 | |
| None | 10 | 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 844 | 9.3% | |
| , | 572 | 6.3% |
| E | 415 | 4.6% |
| R | 403 | 4.4% |
| e | 375 | 4.1% |
| A | 358 | 3.9% |
| a | 354 | 3.9% |
| N | 303 | 3.3% |
| S | 295 | 3.3% |
| n | 267 | 2.9% |
| Other values (49) | 4882 |
None
| Value | Count | Frequency (%) |
| Á | 4 | |
| é | 3 | |
| ú | 2 | |
| É | 1 | 10.0% |
bioguide_id
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 549 |
|---|---|
| Distinct (%) | 99.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| M000133 | 2 |
|---|---|
| O000167 | 1 |
| B001273 | 1 |
| B001243 | 1 |
| C001068 | 1 |
| Other values (544) |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 3850 |
|---|---|
| Distinct characters | 34 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 548 ? |
|---|---|
| Unique (%) | 99.6% |
Sample
| 1st row | O000167 |
|---|---|
| 2nd row | B001244 |
| 3rd row | R000575 |
| 4th row | S001185 |
| 5th row | R000591 |
Common Values
| Value | Count | Frequency (%) |
| M000133 | 2 | 0.4% |
| O000167 | 1 | 0.2% |
| B001273 | 1 | 0.2% |
| B001243 | 1 | 0.2% |
| C001068 | 1 | 0.2% |
| R000582 | 1 | 0.2% |
| F000459 | 1 | 0.2% |
| D000616 | 1 | 0.2% |
| F000458 | 1 | 0.2% |
| C000754 | 1 | 0.2% |
| Other values (539) | 539 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| m000133 | 2 | 0.4% |
| y000033 | 1 | 0.2% |
| b001279 | 1 | 0.2% |
| s001183 | 1 | 0.2% |
| g000565 | 1 | 0.2% |
| k000368 | 1 | 0.2% |
| g000551 | 1 | 0.2% |
| f000448 | 1 | 0.2% |
| a000055 | 1 | 0.2% |
| l000397 | 1 | 0.2% |
| Other values (539) | 539 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 383 | 9.9% |
| 5 | 226 | 5.9% |
| 6 | 166 | 4.3% |
| 2 | 154 | 4.0% |
| 8 | 154 | 4.0% |
| 7 | 141 | 3.7% |
| 3 | 136 | 3.5% |
| 4 | 133 | 3.5% |
| 9 | 131 | 3.4% |
| Other values (24) | 550 | 14.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3300 | |
| Uppercase Letter | 550 | 14.3% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 62 | |
| M | 52 | 9.5% |
| B | 52 | 9.5% |
| S | 48 | 8.7% |
| R | 36 | 6.5% |
| H | 36 | 6.5% |
| L | 31 | 5.6% |
| G | 29 | 5.3% |
| W | 28 | 5.1% |
| P | 27 | 4.9% |
| Other values (14) | 149 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 383 | 11.6% |
| 5 | 226 | 6.8% |
| 6 | 166 | 5.0% |
| 2 | 154 | 4.7% |
| 8 | 154 | 4.7% |
| 7 | 141 | 4.3% |
| 3 | 136 | 4.1% |
| 4 | 133 | 4.0% |
| 9 | 131 | 4.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3300 | |
| Latin | 550 | 14.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| C | 62 | |
| M | 52 | 9.5% |
| B | 52 | 9.5% |
| S | 48 | 8.7% |
| R | 36 | 6.5% |
| H | 36 | 6.5% |
| L | 31 | 5.6% |
| G | 29 | 5.3% |
| W | 28 | 5.1% |
| P | 27 | 4.9% |
| Other values (14) | 149 |
Common
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 383 | 11.6% |
| 5 | 226 | 6.8% |
| 6 | 166 | 5.0% |
| 2 | 154 | 4.7% |
| 8 | 154 | 4.7% |
| 7 | 141 | 4.3% |
| 3 | 136 | 4.1% |
| 4 | 133 | 4.0% |
| 9 | 131 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3850 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 383 | 9.9% |
| 5 | 226 | 5.9% |
| 6 | 166 | 4.3% |
| 2 | 154 | 4.0% |
| 8 | 154 | 4.0% |
| 7 | 141 | 3.7% |
| 3 | 136 | 3.5% |
| 4 | 133 | 3.5% |
| 9 | 131 | 3.4% |
| Other values (24) | 550 | 14.3% |
born
Real number (ℝ)
| Distinct | 55 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1954.9764 |
| Minimum | 1923 |
|---|---|
| Maximum | 1983 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 1923 |
|---|---|
| 5-th percentile | 1937 |
| Q1 | 1947 |
| median | 1955 |
| Q3 | 1962 |
| 95-th percentile | 1973.55 |
| Maximum | 1983 |
| Range | 60 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.893481 |
|---|---|
| Coefficient of variation (CV) | 0.0055721804 |
| Kurtosis | -0.19505073 |
| Mean | 1954.9764 |
| Median Absolute Deviation (MAD) | 7.5 |
| Skewness | 0.034973986 |
| Sum | 1075237 |
| Variance | 118.66793 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1955 | 24 | 4.4% |
| 1947 | 24 | 4.4% |
| 1951 | 23 | 4.2% |
| 1952 | 23 | 4.2% |
| 1958 | 22 | 4.0% |
| 1950 | 20 | 3.6% |
| 1953 | 19 | 3.5% |
| 1946 | 18 | 3.3% |
| 1963 | 18 | 3.3% |
| 1956 | 18 | 3.3% |
| Other values (45) | 341 |
| Value | Count | Frequency (%) |
| 1923 | 1 | 0.2% |
| 1924 | 1 | 0.2% |
| 1926 | 1 | 0.2% |
| 1929 | 2 | 0.4% |
| 1930 | 3 | |
| 1931 | 2 | 0.4% |
| 1933 | 3 | |
| 1934 | 4 | |
| 1935 | 1 | 0.2% |
| 1936 | 6 |
| Value | Count | Frequency (%) |
| 1983 | 1 | 0.2% |
| 1981 | 2 | 0.4% |
| 1980 | 4 | |
| 1978 | 3 | 0.5% |
| 1977 | 3 | 0.5% |
| 1976 | 6 | |
| 1975 | 4 | |
| 1974 | 5 | |
| 1973 | 8 | |
| 1972 | 6 |
died
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 7 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 522 |
| Missing (%) | 94.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2019.1071 |
| Minimum | 2013 |
|---|---|
| Maximum | 2022 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 2013 |
|---|---|
| 5-th percentile | 2013.7 |
| Q1 | 2018.75 |
| median | 2019.5 |
| Q3 | 2021 |
| 95-th percentile | 2022 |
| Maximum | 2022 |
| Range | 9 |
| Interquartile range (IQR) | 2.25 |
Descriptive statistics
| Standard deviation | 2.4546145 |
|---|---|
| Coefficient of variation (CV) | 0.001215693 |
| Kurtosis | 1.2823679 |
| Mean | 2019.1071 |
| Median Absolute Deviation (MAD) | 1.5 |
| Skewness | -1.2981012 |
| Sum | 56535 |
| Variance | 6.0251323 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2019 | 7 | 1.3% |
| 2021 | 6 | 1.1% |
| 2020 | 5 | 0.9% |
| 2022 | 3 | 0.5% |
| 2018 | 3 | 0.5% |
| 2013 | 2 | 0.4% |
| 2015 | 2 | 0.4% |
| (Missing) | 522 |
| Value | Count | Frequency (%) |
| 2013 | 2 | 0.4% |
| 2015 | 2 | 0.4% |
| 2018 | 3 | |
| 2019 | 7 | |
| 2020 | 5 | |
| 2021 | 6 | |
| 2022 | 3 |
| Value | Count | Frequency (%) |
| 2022 | 3 | |
| 2021 | 6 | |
| 2020 | 5 | |
| 2019 | 7 | |
| 2018 | 3 | |
| 2015 | 2 | 0.4% |
| 2013 | 2 | 0.4% |
nominate_dim1
Real number (ℝ)
| Distinct | 436 |
|---|---|
| Distinct (%) | 79.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.071569091 |
| Minimum | -0.753 |
|---|---|
| Maximum | 0.913 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 264 |
| Negative (%) | 48.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -0.753 |
|---|---|
| 5-th percentile | -0.514 |
| Q1 | -0.3695 |
| median | 0.2215 |
| Q3 | 0.4895 |
| 95-th percentile | 0.6824 |
| Maximum | 0.913 |
| Range | 1.666 |
| Interquartile range (IQR) | 0.859 |
Descriptive statistics
| Standard deviation | 0.44775176 |
|---|---|
| Coefficient of variation (CV) | 6.2562169 |
| Kurtosis | -1.6313485 |
| Mean | 0.071569091 |
| Median Absolute Deviation (MAD) | 0.433 |
| Skewness | -0.0010566082 |
| Sum | 39.363 |
| Variance | 0.20048164 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.402 | 5 | 0.9% |
| -0.465 | 3 | 0.5% |
| 0.527 | 3 | 0.5% |
| -0.469 | 3 | 0.5% |
| -0.367 | 3 | 0.5% |
| -0.389 | 3 | 0.5% |
| 0.444 | 3 | 0.5% |
| -0.239 | 3 | 0.5% |
| 0.425 | 3 | 0.5% |
| -0.343 | 3 | 0.5% |
| Other values (426) | 518 |
| Value | Count | Frequency (%) |
| -0.753 | 1 | |
| -0.677 | 1 | |
| -0.666 | 1 | |
| -0.658 | 1 | |
| -0.656 | 1 | |
| -0.61 | 1 | |
| -0.603 | 1 | |
| -0.598 | 1 | |
| -0.589 | 1 | |
| -0.584 | 1 |
| Value | Count | Frequency (%) |
| 0.913 | 1 | |
| 0.899 | 1 | |
| 0.891 | 2 | |
| 0.855 | 1 | |
| 0.829 | 1 | |
| 0.806 | 1 | |
| 0.782 | 1 | |
| 0.75 | 1 | |
| 0.749 | 1 | |
| 0.748 | 1 |
nominate_dim2
Real number (ℝ)
| Distinct | 420 |
|---|---|
| Distinct (%) | 76.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.018190909 |
| Minimum | -0.757 |
|---|---|
| Maximum | 0.712 |
| Zeros | 1 |
| Zeros (%) | 0.2% |
| Negative | 289 |
| Negative (%) | 52.5% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -0.757 |
|---|---|
| 5-th percentile | -0.4642 |
| Q1 | -0.2045 |
| median | -0.013 |
| Q3 | 0.18075 |
| 95-th percentile | 0.4101 |
| Maximum | 0.712 |
| Range | 1.469 |
| Interquartile range (IQR) | 0.38525 |
Descriptive statistics
| Standard deviation | 0.27527079 |
|---|---|
| Coefficient of variation (CV) | -15.132327 |
| Kurtosis | -0.37785076 |
| Mean | -0.018190909 |
| Median Absolute Deviation (MAD) | 0.193 |
| Skewness | -0.10412696 |
| Sum | -10.005 |
| Variance | 0.075774005 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.154 | 4 | 0.7% |
| 0.014 | 4 | 0.7% |
| 0.308 | 4 | 0.7% |
| 0.04 | 4 | 0.7% |
| -0.002 | 4 | 0.7% |
| -0.03 | 3 | 0.5% |
| -0.071 | 3 | 0.5% |
| 0.054 | 3 | 0.5% |
| 0.129 | 3 | 0.5% |
| 0.208 | 3 | 0.5% |
| Other values (410) | 515 |
| Value | Count | Frequency (%) |
| -0.757 | 1 | |
| -0.735 | 2 | |
| -0.728 | 1 | |
| -0.692 | 1 | |
| -0.647 | 2 | |
| -0.626 | 1 | |
| -0.612 | 1 | |
| -0.592 | 1 | |
| -0.58 | 1 | |
| -0.579 | 2 |
| Value | Count | Frequency (%) |
| 0.712 | 1 | |
| 0.658 | 1 | |
| 0.623 | 1 | |
| 0.582 | 1 | |
| 0.574 | 1 | |
| 0.57 | 1 | |
| 0.563 | 1 | |
| 0.561 | 1 | |
| 0.56 | 1 | |
| 0.546 | 1 |
nominate_log_likelihood
Real number (ℝ)
| Distinct | 548 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -136.3484 |
| Minimum | -939.25775 |
|---|---|
| Maximum | -0.35377 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 548 |
| Negative (%) | 99.6% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -939.25775 |
|---|---|
| 5-th percentile | -266.7117 |
| Q1 | -160.15425 |
| median | -124.90126 |
| Q3 | -99.772115 |
| 95-th percentile | -23.221058 |
| Maximum | -0.35377 |
| Range | 938.90398 |
| Interquartile range (IQR) | 60.382135 |
Descriptive statistics
| Standard deviation | 80.999222 |
|---|---|
| Coefficient of variation (CV) | -0.59406069 |
| Kurtosis | 20.150606 |
| Mean | -136.3484 |
| Median Absolute Deviation (MAD) | 29.222685 |
| Skewness | -2.8891749 |
| Sum | -74718.921 |
| Variance | 6560.874 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -41.04464 | 1 | 0.2% |
| -87.1063 | 1 | 0.2% |
| -362.81696 | 1 | 0.2% |
| -93.54589 | 1 | 0.2% |
| -133.9532 | 1 | 0.2% |
| -117.20282 | 1 | 0.2% |
| -104.13953 | 1 | 0.2% |
| -127.11761 | 1 | 0.2% |
| -118.39695 | 1 | 0.2% |
| -115.50238 | 1 | 0.2% |
| Other values (538) | 538 | |
| (Missing) | 2 | 0.4% |
| Value | Count | Frequency (%) |
| -939.25775 | 1 | |
| -545.10044 | 1 | |
| -524.56524 | 1 | |
| -422.41261 | 1 | |
| -418.94428 | 1 | |
| -418.93384 | 1 | |
| -397.61537 | 1 | |
| -396.782 | 1 | |
| -392.97464 | 1 | |
| -389.42024 | 1 |
| Value | Count | Frequency (%) |
| -0.35377 | 1 | |
| -2.59462 | 1 | |
| -3.69977 | 1 | |
| -6.4221 | 1 | |
| -7.6854 | 1 | |
| -8.38874 | 1 | |
| -8.89963 | 1 | |
| -9.62895 | 1 | |
| -10.69304 | 1 | |
| -13.68922 | 1 |
nominate_geo_mean_probability
Real number (ℝ)
| Distinct | 512 |
|---|---|
| Distinct (%) | 93.4% |
| Missing | 2 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8594542 |
| Minimum | 0.36856 |
|---|---|
| Maximum | 0.989 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | 0.36856 |
|---|---|
| 5-th percentile | 0.7487775 |
| Q1 | 0.833885 |
| median | 0.87107 |
| Q3 | 0.8965325 |
| 95-th percentile | 0.948867 |
| Maximum | 0.989 |
| Range | 0.62044 |
| Interquartile range (IQR) | 0.0626475 |
Descriptive statistics
| Standard deviation | 0.063591692 |
|---|---|
| Coefficient of variation (CV) | 0.073990787 |
| Kurtosis | 7.9147234 |
| Mean | 0.8594542 |
| Median Absolute Deviation (MAD) | 0.029205 |
| Skewness | -1.7840302 |
| Sum | 470.9809 |
| Variance | 0.0040439033 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.886 | 5 | 0.9% |
| 0.848 | 4 | 0.7% |
| 0.86 | 3 | 0.5% |
| 0.855 | 3 | 0.5% |
| 0.864 | 2 | 0.4% |
| 0.89 | 2 | 0.4% |
| 0.87583 | 2 | 0.4% |
| 0.819 | 2 | 0.4% |
| 0.836 | 2 | 0.4% |
| 0.9 | 2 | 0.4% |
| Other values (502) | 521 |
| Value | Count | Frequency (%) |
| 0.36856 | 1 | |
| 0.584 | 1 | |
| 0.596 | 1 | |
| 0.61522 | 1 | |
| 0.658 | 1 | |
| 0.65939 | 1 | |
| 0.66237 | 1 | |
| 0.66567 | 1 | |
| 0.671 | 1 | |
| 0.67352 | 1 |
| Value | Count | Frequency (%) |
| 0.989 | 1 | |
| 0.98126 | 1 | |
| 0.97638 | 1 | |
| 0.97478 | 1 | |
| 0.97309 | 1 | |
| 0.97224 | 1 | |
| 0.97128 | 1 | |
| 0.97057 | 1 | |
| 0.97 | 1 | |
| 0.96991 | 1 |
nominate_number_of_votes
Categorical
| Distinct | 171 |
|---|---|
| Distinct (%) | 31.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 1012 | 17 |
|---|---|
| 1016 | 14 |
| 1018 | 14 |
| 998 | 13 |
| 1015 | 13 |
| Other values (166) |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 3.3490909 |
| Min length | 0 |
Characters and Unicode
| Total characters | 1842 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 72 ? |
|---|---|
| Unique (%) | 13.1% |
Sample
| 1st row | 327 |
|---|---|
| 2nd row | 354 |
| 3rd row | 1002 |
| 4th row | 1004 |
| 5th row | 1016 |
Common Values
| Value | Count | Frequency (%) |
| 1012 | 17 | 3.1% |
| 1016 | 14 | 2.5% |
| 1018 | 14 | 2.5% |
| 998 | 13 | 2.4% |
| 1015 | 13 | 2.4% |
| 999 | 11 | 2.0% |
| 1019 | 11 | 2.0% |
| 1017 | 10 | 1.8% |
| 1009 | 10 | 1.8% |
| 1006 | 10 | 1.8% |
| Other values (161) | 427 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1012 | 17 | 3.1% |
| 1018 | 14 | 2.6% |
| 1016 | 14 | 2.6% |
| 998 | 13 | 2.4% |
| 1015 | 13 | 2.4% |
| 999 | 11 | 2.0% |
| 1019 | 11 | 2.0% |
| 1017 | 10 | 1.8% |
| 1009 | 10 | 1.8% |
| 1006 | 10 | 1.8% |
| Other values (160) | 425 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 383 | |
| 0 | 351 | |
| 9 | 330 | |
| 5 | 182 | |
| 8 | 121 | 6.6% |
| 4 | 108 | 5.9% |
| 6 | 100 | 5.4% |
| 7 | 94 | 5.1% |
| 2 | 92 | 5.0% |
| 3 | 81 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1842 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 383 | |
| 0 | 351 | |
| 9 | 330 | |
| 5 | 182 | |
| 8 | 121 | 6.6% |
| 4 | 108 | 5.9% |
| 6 | 100 | 5.4% |
| 7 | 94 | 5.1% |
| 2 | 92 | 5.0% |
| 3 | 81 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1842 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 383 | |
| 0 | 351 | |
| 9 | 330 | |
| 5 | 182 | |
| 8 | 121 | 6.6% |
| 4 | 108 | 5.9% |
| 6 | 100 | 5.4% |
| 7 | 94 | 5.1% |
| 2 | 92 | 5.0% |
| 3 | 81 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1842 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 383 | |
| 0 | 351 | |
| 9 | 330 | |
| 5 | 182 | |
| 8 | 121 | 6.6% |
| 4 | 108 | 5.9% |
| 6 | 100 | 5.4% |
| 7 | 94 | 5.1% |
| 2 | 92 | 5.0% |
| 3 | 81 | 4.4% |
nominate_number_of_errors
Categorical
| Distinct | 139 |
|---|---|
| Distinct (%) | 25.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.4 KiB |
| 45 | 18 |
|---|---|
| 61 | 14 |
| 57 | 13 |
| 52 | 12 |
| 47 | 11 |
| Other values (134) |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.0436364 |
| Min length | 0 |
Characters and Unicode
| Total characters | 1124 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 49 ? |
|---|---|
| Unique (%) | 8.9% |
Sample
| 1st row | 11 |
|---|---|
| 2nd row | 17 |
| 3rd row | 57 |
| 4th row | 80 |
| 5th row | 33 |
Common Values
| Value | Count | Frequency (%) |
| 45 | 18 | 3.3% |
| 61 | 14 | 2.5% |
| 57 | 13 | 2.4% |
| 52 | 12 | 2.2% |
| 47 | 11 | 2.0% |
| 64 | 11 | 2.0% |
| 53 | 11 | 2.0% |
| 38 | 11 | 2.0% |
| 44 | 11 | 2.0% |
| 55 | 9 | 1.6% |
| Other values (129) | 429 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 45 | 18 | 3.3% |
| 61 | 14 | 2.6% |
| 57 | 13 | 2.4% |
| 52 | 12 | 2.2% |
| 47 | 11 | 2.0% |
| 64 | 11 | 2.0% |
| 53 | 11 | 2.0% |
| 38 | 11 | 2.0% |
| 44 | 11 | 2.0% |
| 55 | 9 | 1.6% |
| Other values (128) | 427 |
Most occurring characters
| Value | Count | Frequency (%) |
| 5 | 156 | |
| 4 | 145 | |
| 1 | 141 | |
| 6 | 129 | |
| 3 | 129 | |
| 7 | 108 | |
| 2 | 96 | |
| 8 | 85 | |
| 9 | 76 | |
| 0 | 59 | 5.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1124 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 156 | |
| 4 | 145 | |
| 1 | 141 | |
| 6 | 129 | |
| 3 | 129 | |
| 7 | 108 | |
| 2 | 96 | |
| 8 | 85 | |
| 9 | 76 | |
| 0 | 59 | 5.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1124 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 5 | 156 | |
| 4 | 145 | |
| 1 | 141 | |
| 6 | 129 | |
| 3 | 129 | |
| 7 | 108 | |
| 2 | 96 | |
| 8 | 85 | |
| 9 | 76 | |
| 0 | 59 | 5.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1124 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 5 | 156 | |
| 4 | 145 | |
| 1 | 141 | |
| 6 | 129 | |
| 3 | 129 | |
| 7 | 108 | |
| 2 | 96 | |
| 8 | 85 | |
| 9 | 76 | |
| 0 | 59 | 5.2% |
conditional
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 550 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 4.4 KiB |
nokken_poole_dim1
Real number (ℝ)
| Distinct | 428 |
|---|---|
| Distinct (%) | 78.0% |
| Missing | 1 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.072087432 |
| Minimum | -0.944 |
|---|---|
| Maximum | 0.991 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 263 |
| Negative (%) | 47.8% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -0.944 |
|---|---|
| 5-th percentile | -0.5232 |
| Q1 | -0.388 |
| median | 0.232 |
| Q3 | 0.485 |
| 95-th percentile | 0.6986 |
| Maximum | 0.991 |
| Range | 1.935 |
| Interquartile range (IQR) | 0.873 |
Descriptive statistics
| Standard deviation | 0.45770271 |
|---|---|
| Coefficient of variation (CV) | 6.349272 |
| Kurtosis | -1.5659495 |
| Mean | 0.072087432 |
| Median Absolute Deviation (MAD) | 0.435 |
| Skewness | 0.01546934 |
| Sum | 39.576 |
| Variance | 0.20949177 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.361 | 5 | 0.9% |
| 0.467 | 4 | 0.7% |
| -0.419 | 4 | 0.7% |
| -0.413 | 4 | 0.7% |
| -0.439 | 3 | 0.5% |
| -0.435 | 3 | 0.5% |
| -0.271 | 3 | 0.5% |
| -0.254 | 3 | 0.5% |
| 0.493 | 3 | 0.5% |
| 0.549 | 3 | 0.5% |
| Other values (418) | 514 |
| Value | Count | Frequency (%) |
| -0.944 | 1 | |
| -0.731 | 1 | |
| -0.718 | 1 | |
| -0.666 | 1 | |
| -0.655 | 1 | |
| -0.651 | 1 | |
| -0.6 | 1 | |
| -0.598 | 1 | |
| -0.593 | 1 | |
| -0.575 | 1 |
| Value | Count | Frequency (%) |
| 0.991 | 1 | |
| 0.986 | 1 | |
| 0.949 | 1 | |
| 0.919 | 1 | |
| 0.914 | 1 | |
| 0.887 | 1 | |
| 0.879 | 1 | |
| 0.821 | 1 | |
| 0.815 | 1 | |
| 0.786 | 2 |
nokken_poole_dim2
Real number (ℝ)
| Distinct | 435 |
|---|---|
| Distinct (%) | 79.2% |
| Missing | 1 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0041876138 |
| Minimum | -0.951 |
|---|---|
| Maximum | 0.83 |
| Zeros | 1 |
| Zeros (%) | 0.2% |
| Negative | 264 |
| Negative (%) | 48.0% |
| Memory size | 4.4 KiB |
Quantile statistics
| Minimum | -0.951 |
|---|---|
| 5-th percentile | -0.544 |
| Q1 | -0.177 |
| median | 0.009 |
| Q3 | 0.214 |
| 95-th percentile | 0.4746 |
| Maximum | 0.83 |
| Range | 1.781 |
| Interquartile range (IQR) | 0.391 |
Descriptive statistics
| Standard deviation | 0.30685629 |
|---|---|
| Coefficient of variation (CV) | 73.277121 |
| Kurtosis | 0.043555277 |
| Mean | 0.0041876138 |
| Median Absolute Deviation (MAD) | 0.194 |
| Skewness | -0.22859489 |
| Sum | 2.299 |
| Variance | 0.09416078 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.132 | 5 | 0.9% |
| -0.097 | 4 | 0.7% |
| 0.247 | 4 | 0.7% |
| 0.168 | 4 | 0.7% |
| 0.19 | 4 | 0.7% |
| 0.355 | 3 | 0.5% |
| -0.309 | 3 | 0.5% |
| -0.179 | 3 | 0.5% |
| -0.132 | 3 | 0.5% |
| -0.166 | 3 | 0.5% |
| Other values (425) | 513 |
| Value | Count | Frequency (%) |
| -0.951 | 1 | |
| -0.913 | 1 | |
| -0.877 | 1 | |
| -0.831 | 1 | |
| -0.765 | 1 | |
| -0.76 | 1 | |
| -0.744 | 1 | |
| -0.731 | 1 | |
| -0.729 | 1 | |
| -0.727 | 1 |
| Value | Count | Frequency (%) |
| 0.83 | 1 | |
| 0.773 | 1 | |
| 0.734 | 1 | |
| 0.703 | 1 | |
| 0.687 | 1 | |
| 0.659 | 1 | |
| 0.655 | 1 | |
| 0.646 | 1 | |
| 0.635 | 1 | |
| 0.625 | 1 |
| icpsr | state_icpsr | district_code | born | died | nominate_dim1 | nominate_dim2 | nominate_log_likelihood | nominate_geo_mean_probability | nokken_poole_dim1 | nokken_poole_dim2 | chamber | state_abbrev | party_code | occupancy | last_means | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| icpsr | 1.000 | 0.014 | -0.143 | 0.137 | 0.142 | -0.017 | 0.046 | 0.208 | 0.073 | -0.017 | -0.001 | 0.542 | 0.269 | 0.087 | 0.067 | 0.311 |
| state_icpsr | 0.014 | 1.000 | 0.091 | -0.042 | 0.183 | 0.127 | 0.060 | -0.043 | -0.048 | 0.138 | 0.065 | 0.722 | 0.961 | 0.292 | 0.000 | 0.579 |
| district_code | -0.143 | 0.091 | 1.000 | 0.041 | -0.277 | -0.070 | 0.042 | -0.329 | -0.090 | -0.061 | 0.040 | 0.282 | 0.151 | 0.000 | 0.000 | 0.000 |
| born | 0.137 | -0.042 | 0.041 | 1.000 | 0.304 | 0.262 | 0.076 | -0.112 | -0.029 | 0.250 | 0.036 | 0.060 | 0.000 | 0.129 | 0.044 | 0.000 |
| died | 0.142 | 0.183 | -0.277 | 0.304 | 1.000 | 0.146 | 0.202 | -0.225 | -0.211 | 0.097 | 0.153 | 0.000 | 0.304 | 0.046 | 0.899 | 1.000 |
| nominate_dim1 | -0.017 | 0.127 | -0.070 | 0.262 | 0.146 | 1.000 | 0.199 | -0.108 | -0.182 | 0.977 | 0.209 | 0.122 | 0.199 | 0.700 | 0.068 | 0.070 |
| nominate_dim2 | 0.046 | 0.060 | 0.042 | 0.076 | 0.202 | 0.199 | 1.000 | 0.061 | 0.052 | 0.203 | 0.881 | 0.000 | 0.209 | 0.197 | 0.000 | 0.000 |
| nominate_log_likelihood | 0.208 | -0.043 | -0.329 | -0.112 | -0.225 | -0.108 | 0.061 | 1.000 | 0.801 | -0.147 | 0.119 | 0.362 | 0.070 | 0.167 | 0.163 | 0.159 |
| nominate_geo_mean_probability | 0.073 | -0.048 | -0.090 | -0.029 | -0.211 | -0.182 | 0.052 | 0.801 | 1.000 | -0.220 | 0.091 | 0.411 | 0.080 | 0.197 | 0.077 | 0.000 |
| nokken_poole_dim1 | -0.017 | 0.138 | -0.061 | 0.250 | 0.097 | 0.977 | 0.203 | -0.147 | -0.220 | 1.000 | 0.199 | 0.122 | 0.277 | 0.859 | 0.000 | 0.000 |
| nokken_poole_dim2 | -0.001 | 0.065 | 0.040 | 0.036 | 0.153 | 0.209 | 0.881 | 0.119 | 0.091 | 0.199 | 1.000 | 0.177 | 0.195 | 0.217 | 0.222 | 0.117 |
| chamber | 0.542 | 0.722 | 0.282 | 0.060 | 0.000 | 0.122 | 0.000 | 0.362 | 0.411 | 0.122 | 0.177 | 1.000 | 0.697 | 0.088 | 0.052 | 0.718 |
| state_abbrev | 0.269 | 0.961 | 0.151 | 0.000 | 0.304 | 0.199 | 0.209 | 0.070 | 0.080 | 0.277 | 0.195 | 0.697 | 1.000 | 0.444 | 0.000 | 0.562 |
| party_code | 0.087 | 0.292 | 0.000 | 0.129 | 0.046 | 0.700 | 0.197 | 0.167 | 0.197 | 0.859 | 0.217 | 0.088 | 0.444 | 1.000 | 0.000 | 0.000 |
| occupancy | 0.067 | 0.000 | 0.000 | 0.044 | 0.899 | 0.068 | 0.000 | 0.163 | 0.077 | 0.000 | 0.222 | 0.052 | 0.000 | 0.000 | 1.000 | 0.539 |
| last_means | 0.311 | 0.579 | 0.000 | 0.000 | 1.000 | 0.070 | 0.000 | 0.159 | 0.000 | 0.000 | 0.117 | 0.718 | 0.562 | 0.000 | 0.539 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| congress | chamber | icpsr | state_icpsr | district_code | state_abbrev | party_code | occupancy | last_means | bioname | bioguide_id | born | died | nominate_dim1 | nominate_dim2 | nominate_log_likelihood | nominate_geo_mean_probability | nominate_number_of_votes | nominate_number_of_errors | conditional | nokken_poole_dim1 | nokken_poole_dim2 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 113 | President | 99911 | 99 | 0 | USA | 100 | 0 | 0 | OBAMA, Barack | O000167 | 1961 | NaN | -0.358 | -0.197 | -41.04464 | 0.88200 | 327 | 11 | NaN | NaN | NaN |
| 1 | 113 | House | 20300 | 41 | 1 | AL | 200 | 1 | 1 | BONNER, Jr., Josiah Robins (Jo) | B001244 | 1959 | NaN | 0.367 | 0.513 | -41.88718 | 0.88800 | 354 | 17 | NaN | 0.331 | 0.625 |
| 2 | 113 | House | 20301 | 41 | 3 | AL | 200 | 0 | 1 | ROGERS, Mike Dennis | R000575 | 1958 | NaN | 0.363 | 0.455 | -134.13992 | 0.87470 | 1002 | 57 | NaN | 0.451 | 0.659 |
| 3 | 113 | House | 21102 | 41 | 7 | AL | 100 | 0 | 1 | SEWELL, Terri | S001185 | 1965 | NaN | -0.396 | 0.398 | -160.91163 | 0.85191 | 1004 | 80 | NaN | -0.406 | 0.478 |
| 4 | 113 | House | 21192 | 41 | 2 | AL | 200 | 0 | 1 | ROBY, Martha | R000591 | 1976 | NaN | 0.362 | 0.658 | -87.38206 | 0.91759 | 1016 | 33 | NaN | 0.316 | 0.734 |
| 5 | 113 | House | 21193 | 41 | 5 | AL | 200 | 0 | 1 | BROOKS, Mo | B001274 | 1954 | NaN | 0.652 | -0.417 | -207.05189 | 0.81481 | 1011 | 76 | NaN | 0.576 | -0.225 |
| 6 | 113 | House | 21376 | 41 | 1 | AL | 200 | 2 | 2 | BYRNE, Bradley | B001289 | 1955 | NaN | 0.610 | 0.250 | -38.78313 | 0.91864 | 457 | 14 | NaN | 0.571 | 0.368 |
| 7 | 113 | House | 29301 | 41 | 6 | AL | 200 | 0 | 1 | BACHUS, Spencer T., III | B000013 | 1947 | NaN | 0.387 | 0.228 | -134.43974 | 0.87400 | 996 | 66 | NaN | 0.332 | 0.318 |
| 8 | 113 | House | 29701 | 41 | 4 | AL | 200 | 0 | 1 | ADERHOLT, Robert | A000055 | 1965 | NaN | 0.386 | 0.561 | -90.28470 | 0.90833 | 939 | 38 | NaN | 0.356 | 0.773 |
| 9 | 113 | House | 14066 | 81 | 1 | AK | 200 | 0 | 1 | YOUNG, Donald Edwin | Y000033 | 1933 | 2022.0 | 0.283 | 0.022 | -222.30987 | 0.79096 | 948 | 87 | NaN | 0.265 | 0.116 |
| congress | chamber | icpsr | state_icpsr | district_code | state_abbrev | party_code | occupancy | last_means | bioname | bioguide_id | born | died | nominate_dim1 | nominate_dim2 | nominate_log_likelihood | nominate_geo_mean_probability | nominate_number_of_votes | nominate_number_of_errors | conditional | nokken_poole_dim1 | nokken_poole_dim2 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 540 | 113 | Senate | 40909 | 40 | 0 | VA | 100 | 0 | 1 | WARNER, Mark | W000805 | 1954 | NaN | -0.205 | -0.051 | -43.74943 | 0.92218 | 540 | 16 | NaN | -0.209 | 0.051 |
| 541 | 113 | Senate | 41305 | 40 | 0 | VA | 100 | 0 | 1 | KAINE, Timothy Michael (Tim) | K000384 | 1958 | NaN | -0.245 | -0.062 | -28.45215 | 0.94913 | 545 | 9 | NaN | -0.245 | -0.041 |
| 542 | 113 | Senate | 39310 | 73 | 0 | WA | 100 | 0 | 1 | CANTWELL, Maria E. | C000127 | 1958 | NaN | -0.305 | -0.411 | -16.46095 | 0.97057 | 551 | 5 | NaN | -0.436 | -0.132 |
| 543 | 113 | Senate | 49308 | 73 | 0 | WA | 100 | 0 | 1 | MURRAY, Patty | M001111 | 1950 | NaN | -0.352 | -0.305 | -13.68922 | 0.97478 | 536 | 3 | NaN | -0.375 | -0.179 |
| 544 | 113 | Senate | 14922 | 56 | 0 | WV | 100 | 0 | 1 | ROCKEFELLER, John Davison IV (Jay) | R000361 | 1937 | NaN | -0.326 | 0.177 | -21.95291 | 0.95600 | 487 | 9 | NaN | -0.336 | 0.020 |
| 545 | 113 | Senate | 40915 | 56 | 0 | WV | 100 | 0 | 1 | MANCHIN, Joe, III | M001183 | 1947 | NaN | -0.058 | 0.406 | -127.28209 | 0.79001 | 540 | 56 | NaN | -0.041 | 0.322 |
| 546 | 113 | Senate | 29940 | 25 | 0 | WI | 100 | 0 | 1 | BALDWIN, Tammy | B001230 | 1962 | NaN | -0.492 | -0.135 | -18.57504 | 0.96679 | 550 | 8 | NaN | -0.457 | -0.244 |
| 547 | 113 | Senate | 41111 | 25 | 0 | WI | 200 | 0 | 1 | JOHNSON, Ron | J000293 | 1955 | NaN | 0.629 | -0.146 | -91.88176 | 0.84247 | 536 | 32 | NaN | 0.685 | -0.348 |
| 548 | 113 | Senate | 40707 | 68 | 0 | WY | 200 | 0 | 1 | BARRASSO, John A. | B001261 | 1952 | NaN | 0.537 | 0.224 | -86.25286 | 0.85412 | 547 | 37 | NaN | 0.562 | 0.284 |
| 549 | 113 | Senate | 49706 | 68 | 0 | WY | 200 | 0 | 1 | ENZI, Michael B. | E000285 | 1944 | 2021.0 | 0.545 | 0.199 | -81.50890 | 0.86179 | 548 | 31 | NaN | 0.573 | 0.411 |